STSCI 3080

Course information provided by the Courses of Study 2015-2016.

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based estimation, sampling distributions and hypothesis testing, as well as an introduction to Bayesian methods. Some assignments may involve computation using the R programming language.

When Offered Fall, spring.

Prerequisites/Corequisites Prerequisites: BTRY 3010, Calculus II, or the equivalent.
Forbidden Overlaps Forbidden Overlap: Students may receive credit for only one course in the following group: BTRY 3080/ILRST 3080/STSCI 3080, ECON 3110/ILRST 3110/STSCI 3110, ECON 3130, MATH 4710.

Distribution Category (MQR)

Outcomes
  • Students will be able to manipulate random variables and their distributions using differential and integral calculus.
  • Students will be able to derive properties of standard probability.
  • Students will be able to derive maximum likelihood estimators for standard probability distributions and discuss their properties.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Choose one lecture and one discussion. Combined with: BTRY 3080

  • 4 Credits Stdnt Opt

  • 11961STSCI 3080  LEC 001

  • Prerequisites: BTRY 3010 , Calculus II, or the equivalent.

  • 11962STSCI 3080  DIS 201